3. An auditor for the Philippine Postal Service wants to examine its special five-day priority mail handling to determine the proportion of parcels that actually arrive within the promised five-day period. A randomly selected sample of 3000 such parcels is found to contain 1550 that were delivered on time. Does the sample data provide evidence to conclude that the percentage of on-time parcels is more than 85% (using a=0.01) Step 1: State the hypotheses. Step 2: The level of significance, one/two-tailed test, degrees of freedom Step 3: Statistical Test Step 4: Computation Step 5: Decision Rule Step 6: Reject Ho or Failed to Reject Ho Step 7: Conclusion

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3. An auditor for the Philippine Postal Service wants to examine its special five-day
priority mail handling to determine the proportion of parcels that actually arrive within
the promised five-day period. A randomly selected sample of 3000 such parcels is
found to contain 1550 that were delivered on time. Does the sample data provide
evidence to conclude that the percentage of on-time parcels is more than 85% (using
a=0.01)
Step 1: State the hypotheses.
Step 2: The level of significance, one/two-tailed test, degrees of freedom
Step 3: Statistical Test
Step 4: Computation
Step 5: Decision Rule
Step 6: Reject Ho or Failed to Reject Ho
Step 7: Conclusion
Transcribed Image Text:3. An auditor for the Philippine Postal Service wants to examine its special five-day priority mail handling to determine the proportion of parcels that actually arrive within the promised five-day period. A randomly selected sample of 3000 such parcels is found to contain 1550 that were delivered on time. Does the sample data provide evidence to conclude that the percentage of on-time parcels is more than 85% (using a=0.01) Step 1: State the hypotheses. Step 2: The level of significance, one/two-tailed test, degrees of freedom Step 3: Statistical Test Step 4: Computation Step 5: Decision Rule Step 6: Reject Ho or Failed to Reject Ho Step 7: Conclusion
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